AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management

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Bol AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure. Key Features Uniquely synthesizes AI, ML, and blockchain for intelligent spectrum governance Covers real-world deployments including CBRS, smart grid systems, and IoT-based intelligent transportation networks Comprehensively addresses both technical architectures and regulatory frameworks, including 3GPP Release 18, ETSI, and Ofcom standards Globally integrates perspectives from academia, industry, and policy institutions.

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AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. AI, Machine Learning, and Blockchain for Next-Generation Spectrum Management presents a forward-looking exploration of how artificial intelligence, machine learning, and blockchain technologies are transforming spectrum management in the era of 5G and emerging 6G networks. Bridging engineering innovation with regulatory insight, it offers a comprehensive guide to dynamic, secure, and decentralized spectrum strategies. With real-world case studies, simulation-validated architectures, and actionable policy frameworks, the book serves researchers, engineers, and policymakers shaping the future of wireless communication infrastructure. Key Features Uniquely synthesizes AI, ML, and blockchain for intelligent spectrum governance Covers real-world deployments including CBRS, smart grid systems, and IoT-based intelligent transportation networks Comprehensively addresses both technical architectures and regulatory frameworks, including 3GPP Release 18, ETSI, and Ofcom standards Globally integrates perspectives from academia, industry, and policy institutions.


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